Generative AI Engineer
Build production RAG applications, AI agents, and LLM workflows for enterprise clients.
Generative AINorth America (Remote)RemoteNow Hiring
About the role
We are expanding our Generative AI practice and looking for engineers who can design and deliver secure, governed LLM applications — from proof-of-concept through production deployment on Azure OpenAI, AWS, or Databricks.
Key responsibilities
- Design and implement RAG pipelines, vector search, and document ingestion workflows.
- Build AI agents and automation workflows integrated with enterprise data platforms.
- Implement guardrails, access controls, prompt management, and usage monitoring for LLM applications.
- Collaborate with data engineering teams to connect GenAI solutions to curated lakehouse datasets.
- Support client workshops, technical discovery, and solution demonstrations.
Qualifications
- 3+ years of software or data engineering experience with 1+ years focused on LLM or GenAI delivery.
- Hands-on experience with Azure OpenAI, LangChain, or similar orchestration frameworks.
- Understanding of embedding models, vector databases, and retrieval evaluation techniques.
- Strong Python skills and familiarity with API-based AI service integration.
Nice to have
- Experience with Databricks ML, SageMaker, or MLOps tooling.
- Background in data governance, privacy, or responsible AI practices.